Generative adversarial reward learning for generalized behavior tendency inference

Chen, X; Yao, L; Wang, X; Sun, A; Zhang, W; Sheng, QZ

Generative adversarial reward learning for generalized behavior tendency inference

Chen, X Yao, L Wang, X

Sun, A Zhang, W Sheng, QZ

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Publisher:: Institute of Electrical and Electronics Engineers
Publication Type:: Journal Article
Citation:: IEEE Transactions on Knowledge and Data Engineering, 2022
Issue Date:: 2022-05-12

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Field	Value	Language
dc.contributor.author	Chen, X
dc.contributor.author	Yao, L
dc.contributor.author	Wang, X https://orcid.org/0000-0001-9582-3445
dc.contributor.author	Sun, A
dc.contributor.author	Zhang, W
dc.contributor.author	Sheng, QZ
dc.date.accessioned	2022-01-20T22:02:05Z
dc.date.available	2021-11-23
dc.date.available	2022-01-20T22:02:05Z
dc.date.issued	2022-05-12
dc.identifier.citation	IEEE Transactions on Knowledge and Data Engineering, 2022
dc.identifier.issn	1041-4347
dc.identifier.uri	http://hdl.handle.net/10453/153387
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation	http://purl.org/au-research/grants/arc/LP180100654
dc.relation	http://purl.org/au-research/grants/arc/DE180100251
dc.relation.ispartof	IEEE Transactions on Knowledge and Data Engineering
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	08 Information and Computing Sciences
dc.subject.classification	Information Systems
dc.title	Generative adversarial reward learning for generalized behavior tendency inference
dc.type	Journal Article
utslib.for	08 Information and Computing Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
utslib.copyright.embargo	2024-05-31T00:00:00+1000Z
dc.date.updated	2022-01-20T22:01:59Z
pubs.publication-status	Accepted

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http://hdl.handle.net/10453/153387